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MongoDB C100DBA Exam Syllabus Topics:

Section	Weight	Objectives
Monitoring, Performance and Troubleshooting	10%	- Diagnostics and resolving common issues - Monitoring tools and metrics - Performance tuning and optimization
MongoDB Architecture and Deployment	20%	- Core concepts, JSON/BSON, data model - Storage engines and server management - Installation and configuration
Sharding and Scalability	10%	- Query routing and cluster operations - Shard keys, chunk management, balancing - Sharded cluster architecture
CRUD Operations and Indexing	20%	- Index types, creation, and management - Query optimization and aggregation - Create, Read, Update, Delete operations
Backup, Recovery and Maintenance	10%	- Data consistency and integrity checks - Restore procedures and disaster recovery - Logical and physical backup methods
Replication and High Availability	15%	- Deployment and maintenance of replica sets - Replica set architecture and components - Failover, elections, read/write concern
Security and Access Control	15%	- Encryption, auditing, and security best practices - Authentication mechanisms - Role-based access control

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最新的 MongoDB Certified DBA Associate C100DBA 免費考試真題 (Q131-Q136):

問題 #131
What tool should be used to access and administer a MongoDB cluster?

A. mongostat
B. mongod
C. mongotop
D. mongosh

答案：D

解題說明：
mongosh, the MongoDB Shell, is the interactive command-line environment used to connect to MongoDB deployments and perform administrative and data operations. Through mongosh, a DBA can run CRUD queries, aggregation pipelines, user and role administration, replica-set commands, server diagnostics, index operations, and many other management tasks. mongod, option B, is the MongoDB database server process itself; it stores data and serves requests but is not the interactive administration client. mongostat, option C, is a monitoring utility that reports a concise stream of server activity metrics such as operation rates, memory, connections, and queue information. mongotop, option D, reports time spent reading and writing data by namespace and is likewise a diagnostic utility rather than a general administration shell. DBAs may also use MongoDB Compass, Atlas interfaces, Ops Manager, or automation tooling depending on the deployment, but among these four command-line tools, mongosh is the one intended for broad interactive access and administration. Therefore option A is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - MongoDB Shell, administration tools, server processes, and monitoring utilities.

問題 #132
Consider the following example document from the sample collection. All documents in this collection have the same schema.

Which of the following queries will replace this with the document.

A. db.sample.update( { "_id" : 3 } , { "_id" : 7 , "c" : 4 } , { "justOne" : true } ) // This operation cannot be done with a single query.
B. db.sample.update( { "_id" : 3 } , { "_id" : 7 , "c" : 4 } )
C. db.sample.update( { "_id" : 3 } , { "$set" : { "_id" : 7 , "c" : 4 } } )
D. db.sample.update( { "_id" : 3 } , { "_id" : 7 , "c" : 4 , { "$unset" : [ "a" , "b" ] } } )

答案：D

問題 #133
What is a limitation of encryption at rest?

A. It does not protect against data breaches.
B. It can impact performance greatly.
C. It protects against insecure network connections.
D. It requires a lot of additional configuration.

答案：A

解題說明：
Encryption at rest protects persisted database data on storage media, but it is not a complete defense against every form of data exposure or breach. MongoDB ' s encrypted storage capabilities protect files and storage- level data, yet applications and the database server must still process authorized data in usable form. A compromised application account, stolen database credentials, excessive privileges, or a malicious authorized user can therefore expose data even when the underlying storage is encrypted. Network traffic also requires separate transport protection such as TLS; encryption at rest does not secure data as it travels between clients and servers. Option B incorrectly describes transport encryption rather than an at-rest capability. Option A is too subjective and not an inherent limitation, particularly in managed deployments where storage encryption may be enabled automatically. Option D is similarly overstated; encryption adds cryptographic work, but severe performance impact is not an intrinsic defining limitation. The correct security model is defense in depth: combine at-rest encryption with TLS, strong authentication, least-privilege authorization, auditing, and secure key management. Among the choices, C best captures the limitation that at-rest encryption alone cannot prevent all data breaches.
Study Guide reference/topic:Security, Networking, and Encryption - encryption at rest, TLS, authorization, and defense in depth.

問題 #134
Below is a sample document in a given collection test.
{ a : 5, b : 3, c: 2, d : 1 >
Given a compound index { a: 1, b:l, c:l, d:l}, Which of the below query will not use in-memory sorting? Select all valid.

A. db.test.find( { a: 5, b: 3 } ).sort( { a: 1} )
B. db.test.find( { a: 5, b: 3 } ).sort( {c: 1 } )
C. db.test.find( { a: 5, b: 3 } ).sort( { a: 1, b: 1, c: 1 > )
D. db.test.find( { a: 5, b: 3 } ).sort( { c: 1, d : 1 } )

答案：B,D

問題 #135
Consider the following posts document:

Which of the following queries will return the documents but with only the first two tags in the tags array?

A. Both "db.posts.find({author:"Tom"},{tags:{$slice:2}})" and
"db.posts.find({author:"Tom"}).limit($slice: {tags:2})" are valid. $slice works both with projection and limit.
B. db.posts.find({author:"Tom"}.limit({tags:2})
C. db.posts.find({author:"Tom"}.limit($slice:{tags:2>)
D. db.posts.find({author:"Tom">,{tags:{$slice:2})

答案：D

問題 #136
......

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